Mercè Martín is a veteran software leader with 14+ years shaping machine learning productization as VP Insights and Applications at BigML, where she builds tools to democratize ML and maintains quality in open-source Python bindings. Based in Girona, she combines a deep engineering pedigree—from early web, backoffice and search-engine projects at Grup Enciclopèdia Catalana to rental-management systems—with academic rigor rooted in a PhD in Physics and technical engineering in computer science. Mercè is hands-on in testing and platform adaptation, evidenced by contributions that tightened BigML’s Python test-suite around ensemble behavior. Currently enrolled in Biocat’s d-Health program, she is extending her domain fluency into digital health applications while continuing to bridge research, product and production engineering.
14 years of coding experience
3 years of employment as a software developer
Dominiques de la Presentació
PhD, Physics, PhD, Physics at Universitat de Barcelona
Computer Science, Computer Science at www.coursera.org
La Salle Comtal
Technical engineer, Computer Sciences, Technical engineer, Computer Sciences at Universidad Nacional de Educación a Distancia - U.N.E.D.
Contributions:9 reviews, 1211 commits, 280 PRs in 10 years 6 months
Contributions summary:Mercè focused on modifying and improving existing tests to account for default bias changes and new arguments in ensemble creation. The commits reflect a focus on testing, highlighting skills in adapting tests for changes in the underlying BigML platform's behavior. The code changes, within the context of BigML's Python bindings for BigML.io, involved changes to existing tests, suggesting a role centered around maintaining the quality and correctness of the codebase.
Contributions:7 PRs, 339 pushes, 118 branches in 9 years
node-jsnodejs
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